Analysing and predicting COVID-19 AI tracking using artificial intelligence

Author(s):  
Iyas Alodat

In this paper, we will discuss prediction methods to restrict the spread of the disease by tracking contact individuals via mobile application to individuals infected with the COVID-19 virus. We will track individuals using bluetooth technology and then we will save information in the central database when they are in touch. Monitoring cases and avoiding the infected person help with social distance. We also propose that sensors used by people to obtain blood oxygen saturation level and their body temperature will be used besides bluetooth monitoring. The estimation of the frequency of the disease is based on the data entered by the patient and also on the data gathered from the users who entered the program on the state of the disease. In this study, we will also propose the best way to restrict the spread of COVID-19 by using methods of artificial intelligence to predict the disease in Jordan using Tensorflow.

2021 ◽  
Vol 2 (1) ◽  
pp. 38-43
Author(s):  
Abdullajon Komilov ◽  
◽  
Madinabonu Sultonova ◽  
Durdona Orifjonova

Today, the COVID-19 pandemic is one of the most pressing problems facing humanity. Therefore, reducing the population's level of infection with this virus is one of our government's main tasks.Therefore, it is necessary to isolate patients with chronic diseases as much as possible. Clients are more likely to be infected with caronavirus due to their age and the presence of underlying medical conditions.Limiting direct contact between such patients and observing healthcare professionals significantly reduces the patient's chances of contracting caronavirus.The article proposes a device design that allows for remote automatic monitoring of patients' condition being treated at home by an observing medical professional.With the proposed device's help, the patient's blood oxygen saturation level is automatically and remotely controlled. The device is built on an Arduino board.The use of the device greatly reduces the likelihood of contracting caronavirus in patients receiving home treatment.This could be one of the most important decisions in maintaining the health of the population today.


2010 ◽  
Vol 4 (2) ◽  
Author(s):  
Thao P. Do ◽  
Lindsey J. Eubank ◽  
Devin S. Coulter ◽  
John M. Freihaut ◽  
Carlos E. Guevara ◽  
...  

When an infant is born prematurely, there are a number of health risks. Among these are underdeveloped lungs, which can lead to abnormal gas exchange of oxygen or hypoxemia. Hypoxemia is treated through oxygen therapy, which involves the delivery of supplemental oxygen to the patient but there are risks associated with this method. Risks include retinopathy, which can cause eye damage when oxygen concentration is too high, and brain damage, when the concentration is too low [1]. Supplemental oxygen concentration must be controlled rigorously. Currently healthcare staff monitors infants’ blood oxygen saturation level using a pulse oximeter. They manually adjust the oxygen concentration using an air-oxygen blender. Inconsistent manual adjustments can produce excessive fluctuations and cause the actual oxygen saturation level to deviate from the target value. Precision and accuracy are compromised. This project develops an automatic oxygen delivery system that regulates the supplemental oxygen concentration to obtain a target blood oxygen saturation level. A microprocessor uses a LABVIEW® program to analyze pulse oximeter and analyzer readings and control electronic valves in a redesigned air-oxygen blender. A user panel receives a target saturation level, displays patient data, and signals alarms when necessary. The prototype construction and testing began February 2010.


2021 ◽  
Author(s):  
Kan Yamagami ◽  
Akihiro Nomura ◽  
Mitsuhiro Kometani ◽  
Masaya Shimojima ◽  
Kenji Sakata ◽  
...  

Abstract Some patients with coronavirus disease 2019 (COVID-19) experienced sudden death because of sudden symptom deterioration. Thus, an alarm system that could detect early signs of COVID-19 exacerbation beforehand, to prevent serious illness or death of patients while receiving outpatient treatment at home or in hotels is necessary. Here, we tested whether estimated oxygen variations (EOV), a relative physiological scale that represents users’ blood oxygen saturation level during sleep measured by Fitbit, predicted COVID-19 symptom exacerbation. Study period was from August to November 2020. We enrolled 23 COVID-19 patients diagnosed by SARS-CoV-2 polymerase chain reaction-positive (mean age ± standard deviation, 50.9 ± 20 years; 70% female), let each patient wore the Fitbit for 30 days; COVID-19 symptoms were exacerbated in 6 (26%). High EOV signal (a patient’s oxygen level exhibits significant dip and recovery within the index period) had 80% sensitivity before symptom exacerbations, whereas resting heart rate signal only had 50% sensitivity. Coincidental obstructive sleep apnea syndrome confirmed by polysomnography was detected in a patient by consistently high EOV signals. This pilot study successfully detected early COVID-19 symptoms exacerbation by measuring EOV and may help to identify early signs of COVID-19 exacerbation.


2021 ◽  
Vol 11 (4) ◽  
pp. 55-61
Author(s):  
Rajesh Prabhakar Gaikwad ◽  
Akshaya Bhupesh Banodkar ◽  
Vaibhavi Pandurang Nandgaonkar

Background: Outbreak of novel corona virus has led World Health Organization (WHO) to come up with healthcare guidelines which includes wearing of N95 mask. The aim of this study was to evaluate whether blood oxygen saturation level is affected by wearing of N95 mask for the duration of 4 hours. Materials and Methods: A total of 90 exam going students were included in this study, who were instructed to wear N95 mask. Blood oxygen saturation level (SpO2) was checked both before and after wearing of N95 mask for a period of 4 hours. Results: It was observed that, before wearing N95 mask at 9 am, SpO2 values were 96.64±0.196 while at 1 pm after removing N95 mask, the saturation values were 95.68±0.235 (p=0.000) among all the students. There was a statistically highly significant difference seen for the values between the time intervals (p<0.01) with higher values at 9 am and lesser at 1pm. On comparing the SpO2 levels among males and females, a statistically nonsignificant difference was seen. Thus, reduction in blood oxygen saturation level can be a major parameter to evaluate the respiratory consequences of N95 mask. Conclusion: Various adverse effects of N95 mask were quoted in literature but respiratory consequences due to reduction in blood oxygen saturation level can be harmful. Thus, to avoid such consequences, precautionary measures are advised to be taken. Key words: N95 mask, SpO2, Blood oxygen saturation, COVID-19.


Author(s):  
Shruti Kiran Daddikar ◽  
Roshani Ade

the purpose of this paper is an approach to recognize oxygen level in people’s blood. Our method uses SPO2 sensor (Blood oxygen saturation level) and msp432. By using SPO2 sensor to sense oxygen level in the blood and Beer’s Lambert Laws to get oxygen level value and that oxygen level value display in LCD. The proposed method require less no of hardware so it reduced the production cost.


2021 ◽  
Vol 10 (3) ◽  
Author(s):  
Ali Miri ◽  
Mostafa Roshanzadeh ◽  
Reza Masoudi ◽  
Soleiman Kheiri ◽  
Shirmohammad Davoodvand

Background: Postoperative complications can endanger the patient's life and disrupt the recovery process if not properly managed. Local cold therapy can be a safe non-pharmacologic method to manage these side effects; however, it has not been highly considered. Objectives: This study was done to determine the effect of local cold therapy on arterial blood oxygen saturation and temperature changes in patients undergoing surgery. Methods: This quasi-experimental study was performed at Shahrekord University of Medical Sciences in 2019 on 60 patients undergoing thoracic and abdominal surgery selected by convenience sampling, and they were randomly assigned to the intervention and control groups. The intervention (local cold therapy) was performed for 48 hours after full consciousness, three times a day for 20 minutes to the intervention group. Data were collected before and after the intervention using a demographic questionnaire, pulse oximetry device, and thermometer. The data were analyzed based on the independent samples t-test, paired-samples t-test, and chi-square and Fishers’ exact tests by SPSS version 20 software. Results: The mean arterial blood oxygen saturation percentage (O2Sat%) during the intervention significantly increased in both groups (P < 0.05), but the rate of increase was significantly higher in the local cold group (P < 0.05). The results of within-group research showed that the mean temperature had significant differences in the local cold therapy group (P < 0.05), but the mean body temperature did not show a significant difference between the two groups (P < 0.05). Conclusions: Local cold therapy can be effectively trained and used by nurses to improve the O2Sat%. It did not affect postoperative body temperature. Further studies must be conducted to investigate the effects of local cold therapy on postoperative body temperature changes.


2021 ◽  
Vol 11 (4) ◽  
pp. 277-283
Author(s):  
M. E. Statsenko ◽  
Yu. E. Lopushkova

Aim. To study heart rate variability (HRV) in patients with chronic heart failure (CHF) and chronic obstructive pulmonary disease (COPD) in relation to: blood oxygen saturation level, parameters of respiratory function (RPF), Nt – proBNP concentration in blood plasma.Materials and methods. We examined 128 outpatients of both sexes. The patients’ age ranged from 45 to 70 years. Group 1 – main (60 patients) with CHF of ischemic genesis of NYHA functional class II – III and GOLD COPD of I – III degree of airflow restriction (GOLD 2019 classification) in the stage of stable remission, group 2 – control group (63 patients), with isolated CHF. All patients with CHF, who were included in the study, had myocardial infarction (AMI) from 1 to 5 years ago. There were no statistically significant differences in the severity of CHF between groups 1 and 2.Results. In patients with CHF and COPD, in contrast to patients with isolated CHF, a significant prevalence of the frequency of occurrence of the hypersympathicotonic type of autonomic regulation was revealed. Significantly lower indicators of heart rate variability were in the group of patients with concomitant COPD in comparison with patients with isolated CHF. Statistically significant correlations were revealed between HRV parameters and RPF, parameters of blood oxygen saturation level, NT-proBNP concentration in blood. Multivariate regression analysis showed a significant dependence of HRV parameters on the parameters of HRV and the concentration of NT-proBNP in the blood in the group of patients with CHF and COPD.


2021 ◽  
Vol 49 (3) ◽  
pp. 030006052199026
Author(s):  
Shilong Zhang ◽  
Bin Zhao ◽  
Dongji Chen ◽  
Ying Qi ◽  
Youguo Ma ◽  
...  

Objective To study the safety and feasibility of implementation of precise radiotherapy with inducement of an apnea-like condition. Methods Two patients with lung tumors underwent precise radiotherapy under an apnea-like condition. The apnea-like condition was induced 11 times between the two patients for tumor localization and treatment. The changes in the blood oxygen saturation, blood pressure, heart rate, and end-tidal carbon dioxide during the apnea-like periods were observed, and the incidence of adverse reactions was recorded. Results The average apnea-like time was 6.2 minutes (range, 3–9 minutes), and the average radiotherapy time was 4.6 minutes (range, 1–7 minutes). The lowest blood oxygen saturation level was 97%, with a change of <1%. The heart rate and average arterial blood pressure increased during the apnea-like periods. Contact sores appeared on the patients’ posterior pharyngeal wall after the first apnea-like period; no other adverse events occurred. Conclusion Precise radiotherapy under an apnea-like condition is safe and feasible for patients with lung tumors.


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